United Nations Economic Commission for Europe Statistical Division The Role of Metadata UNECE Training Workshop on Dissemination of MDG Indicators and Statistical Information Astana, Kazakhstan.

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Transcript United Nations Economic Commission for Europe Statistical Division The Role of Metadata UNECE Training Workshop on Dissemination of MDG Indicators and Statistical Information Astana, Kazakhstan.

United Nations Economic Commission for Europe
Statistical Division
The Role of Metadata
UNECE Training Workshop on Dissemination of
MDG Indicators and Statistical Information
Astana, Kazakhstan 23 – 25 November 2009
Steven Vale, UNECE
Contents




What are metadata?
Types of users
What do the users need?
Metadata standards
24.9.2009
Steven Vale - UNECE Statistical Division
Slide 2
What Are Metadata?

Official definition:
“Data that define and
describe other data”

Metadata are an essential tool to
communicate about data
(and data quality!)
Steven Vale - UNECE Statistical Division
Slide 3
What are Metadata?
Metadata
Title and Units
Albania
Armenia
Austria
Azerbaijan
2004
12
24
45
28
2005 2006
13
15
28
29
41
43
28
24
Source: UNECE
Footnotes
Steven Vale - UNECE Statistical Division
2007
17
28
42
26
Data
Slide 4
Types of Metadata

Structural metadata
•
Table / chart titles
• Row / column headings
• Row / column values
• Source information

Reference metadata
•
Footnotes
• Definitions
• Methodological texts
Steven Vale - UNECE Statistical Division
Slide 5
Types of users
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
“Tourists” – want
basic data and easy
to understand
metadata
Most users are likely
to be tourists
They are not experts
in statistics or
databases systems
Steven Vale - UNECE Statistical Division
Slide 6
Types of users


“Harvesters” – want
data for basic research
or economic decisions,
with summary metadata
to help them understand
data quality
They have some
statistical knowledge
Steven Vale - UNECE Statistical Division
Slide 7
Types of users



“Miners” – want detailed
data for further analysis
They need detailed
metadata so that they
can fully understand the
data
They are prepared to do
some work themselves
to get the data
Steven Vale - UNECE Statistical Division
Slide 8
Layers of Metadata
Structural Metadata
for “Tourists”
Drill
down
Simple Reference Metadata
for “Harvesters”
Detailed Reference Metadata
for “Miners”
Steven Vale - UNECE Statistical Division
Slide 9
Most statistical organizations
are good at providing ...


Structural metadata
Simple reference metadata
But not so good at ...

Detailed reference metadata
Steven Vale - UNECE Statistical Division
Slide 10
How to Improve Reference
Metadata
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
Write the metadata for users not
producers
Follow international standards for
terminology and definitions
Develop a simple, easy to use tool for
storing and publishing reference metadata
Provide clear links from (and to) data
Steven Vale - UNECE Statistical Division
Slide 11
Metadata Standards
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Statistical Data and Metadata eXchange
(SDMX)
Guidelines for Statistical Metadata on the
Internet
Common Metadata Framework
European Commission Recommendation
on reference metadata for the European
Statistical System
Steven Vale - UNECE Statistical Division
Slide 12
SDMX


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Statistical Data and Metadata eXchange
A set of technical and content-related
standards for data (and metadata) transfer
between statistical organizations
Recognized as a preferred standard by the
United Nations Statistical Commission
Technical standards have ISO accreditation
•
ISO 17369
Steven Vale - UNECE Statistical Division
Slide 13
SDMX Content-oriented
Guidelines



Adopted January 2009
Harmonization of concepts and terminology
Main components:
•
Cross-domain concepts
• Cross-domain code lists
• Statistical subject-matter domains
• Metadata common vocabulary

www.sdmx.org
Steven Vale - UNECE Statistical Division
Slide 14
Guidelines for Statistical
Metadata on the Internet

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
Approved by the
Conference of
European Statisticians
Specific advice for web
dissemination
www.unece.org/stats/publi
cations/metadata.pdf
Steven Vale - UNECE Statistical Division
Slide 15
Common Metadata Framework
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Being developed with input from national
and international statistical
organizations, coordinated by the METIS
Steering Group.
4 parts: each concentrates on different
aspects of statistical metadata systems
Latest versions are on the METIS wiki:
www1.unece.org/stat/platform/display/metis
Steven Vale - UNECE Statistical Division
Slide 16
Part A



Explains importance
of metadata and
metadata systems
Published on the web
Printed version
2009/2010
Steven Vale - UNECE Statistical Division
Slide 17
Other Parts in Development
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
Part B: Metadata Concepts, Standards,
Models and Registries
Part C: Metadata & the Statistical
Business Process
Part D: Implementation
•
Case studies from national and international
organizations
Steven Vale - UNECE Statistical Division
Slide 18
European Commission
Recommendation on Reference
Metadata


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Promotes standard concepts for
reference metadata
Consistent with SDMX
Legal document but not compulsory
Reference: 2009/498/EC
Steven Vale - UNECE Statistical Division
Slide 19
Summary
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Metadata help users fully understand data
Different users need different levels of
detail of metadata
Reference metadata provide descriptions of
the data and any quality issues
International standards are important to
ensure harmonized concepts, definitions
and presentation of metadata
Steven Vale - UNECE Statistical Division
Slide 20
Questions?
Steven Vale - UNECE Statistical Division
Slide 21